#jupyter_notebook
DINOv2 is a powerful AI model from Meta AI that learns to understand images without needing labeled data, using self-supervised learning. It was trained on 142 million images and creates strong visual features that work well for many tasks like image classification, depth estimation, and segmentation without extra fine-tuning. You can use its pretrained models easily with simple classifiers, saving time and effort. DINOv2 is efficient, scalable, and performs better than many other models, making it great for building versatile computer vision applications quickly and accurately. It’s open-source and ready to use with PyTorch.
https://github.com/facebookresearch/dinov2
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf
#Scikit_learn is an open source Python library that implements a range of #machine_learning , preprocessing, cross-#validation and #visualization algorithms using a unified interface...
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Atlético Madrid vs Arsenal
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Telegram Takes Over Blockchain Control
Telegram is ramping up its control over the TON blockchain by increasing the number of million-TON validators it operates. The minimum amount required to participate in validation has risen from 414K to 500K TON since December. This consolidation suggests a shift towards centralized management. Telegram has added 25 new validators in January, boosting its share of validators to over 66%. This move may simplify blockchain upgrades but raises concerns over decentralization. Telegram appears to be monetizing TON more directly, potentially selling it at discounts while maintaining income from accumulated TON investments.
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